FKIE_CVE-2022-28383
Vulnerability from fkie_nvd - Published: 2022-06-08 16:15 - Updated: 2026-06-17 04:38
Severity
Summary
An issue was discovered in certain Verbatim drives through 2022-03-31. Due to insufficient firmware validation, an attacker can store malicious firmware code for the USB-to-SATA bridge controller on the USB drive (e.g., by leveraging physical access during the supply chain). This code is then executed. This affects Keypad Secure USB 3.2 Gen 1 Drive Part Number #49428, Store 'n' Go Secure Portable HDD GD25LK01-3637-C VER4.0, Executive Fingerprint Secure SSD GDMSFE01-INI3637-C VER1.1, and Fingerprint Secure Portable Hard Drive Part Number #53650.
References
Impacted products
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"value": "An issue was discovered in certain Verbatim drives through 2022-03-31. Due to insufficient firmware validation, an attacker can store malicious firmware code for the USB-to-SATA bridge controller on the USB drive (e.g., by leveraging physical access during the supply chain). This code is then executed. This affects Keypad Secure USB 3.2 Gen 1 Drive Part Number #49428, Store \u0027n\u0027 Go Secure Portable HDD GD25LK01-3637-C VER4.0, Executive Fingerprint Secure SSD GDMSFE01-INI3637-C VER1.1, and Fingerprint Secure Portable Hard Drive Part Number #53650."
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"value": "Se ha detectado un problema en determinadas unidades de Verbatim versiones hasta el 31-03-2022. Debido a una comprobaci\u00f3n insuficiente del firmware, un atacante puede almacenar c\u00f3digo de firmware malicioso para el controlador de puente USB a SATA en la unidad USB (por ejemplo, al aprovechar el acceso f\u00edsico durante la cadena de suministro). Este c\u00f3digo es ejecutado a continuaci\u00f3n. Esto afecta a la unidad Keypad Secure USB versi\u00f3n 3.2 Gen 1, n\u00famero de pieza 49428, al disco duro port\u00e1til Store \"n\" Go Secure GD25LK01-3637-C VER4.0, a la unidad SSD Executive Fingerprint Secure GDMSFE01-INI3637-C VER1.1 y al disco duro port\u00e1til Fingerprint Secure, n\u00famero de pieza 53650"
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"id": "CVE-2022-28383",
"lastModified": "2026-06-17T04:38:28.293",
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"baseSeverity": "MEDIUM",
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"published": "2022-06-08T16:15:08.027",
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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